Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

Abstract: Providing a user interface (UI) on a web page. A toolbar section is defined on the web page. The web page includes a content section being different and separate from the toolbar section, and the content section displays additional content of the web page. One or more groups are specified to include one or more action controls associated therewith. Each of the specified groups has a group identifier associated therewith. The one or more action controls are displayed according to the specified groups in the toolbar section of the web page. Each of the one or more displayed action controls includes properties associated therewith, and the included properties define at least one of the following: a name of the action control, a link of the action control, the group identifier of the action control, and a classification identifier of the action control.

Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

Abstract: Providing a user interface (UI) on a web page. A toolbar section is defined on the web page. The web page includes a content section being different and separate from the toolbar section, and the content section displays additional content of the web page. One or more groups are specified to include one or more action controls associated therewith. Each of the specified groups has a group identifier associated therewith. The one or more action controls are displayed according to the specified groups in the toolbar section of the web page. Each of the one or more displayed action controls includes properties associated therewith, and the included properties define at least one of the following: a name of the action control, a link of the action control, the group identifier of the action control, and a classification identifier of the action control.

Abstract: Providing a user interface (UI) on a web page. A toolbar section is defined on the web page. The web page includes a content section being different and separate from the toolbar section, and the content section displays additional content of the web page. One or more groups are specified to include one or more action controls associated therewith. Each of the specified groups has a group identifier associated therewith. The one or more action controls are displayed according to the specified groups in the toolbar section of the web page. Each of the one or more displayed action controls includes properties associated therewith, and the included properties define at least one of the following: a name of the action control, a link of the action control, the group identifier of the action control, and a classification identifier of the action control.

Abstract: Focusing electronic mail messages in a list of messages. Category information is received for classifying particular e-mail messages or senders of the messages in the list of e-mail messages according to a category. The method also includes setting a status data associated with each of the particular messages. The status data indicates the category classified by the user. A first instruction is received from the user for focusing the particular messages according to the category. The particular messages having the status data therewith in the list are focused collectively without altering a preexisting order of the messages in the list.

Abstract: Providing a user interface (UI) on a web page. A toolbar section is defined on the web page. The web page includes a content section being different and separate from the toolbar section, and the content section displays additional content of the web page. One or more groups are specified to include one or more action controls associated therewith. Each of the specified groups has a group identifier associated therewith. The one or more action controls are displayed according to the specified groups in the toolbar section of the web page. Each of the one or more displayed action controls includes properties associated therewith, and the included properties define at least one of the following: a name of the action control, a link of the action control, the group identifier of the action control, and a classification identifier of the action control.

Abstract: Focusing electronic mail messages in a list of messages. Category information is received for classifying particular e-mail messages or senders of the messages in the list of e-mail messages according to a category. The method also includes setting a status data associated with each of the particular messages. The status data indicates the category classified by the user. A first instruction is received from the user for focusing the particular messages according to the category. The particular messages having the status data therewith in the list are focused collectively without altering a preexisting order of the messages in the list.

Abstract: Distinguishing electronic mail (e-mail) messages for a user. An e-mail inbox is provided to include one or more e-mail messages therein. A first section of the inbox is specified. The first section includes a set of the one or more messages, and the set of the one or more messages is indicative of an unknown status. An second section of the inbox is provided, and the second section includes the remaining set of the one or more messages. The remaining set of the messages is indicative of a known status.